data engineer

machine learning engineer Jobs in San Francisco United States

machine learning engineer

ai/ml engineer Jobs in San Francisco United States

ai/ml engineer

ai/ml research scientist Jobs in San Francisco United States

ai/ml research scientist

applied ai engineer Jobs in San Francisco United States

applied ai engineer

data scientist

OpenAI

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 The Strategic Finance team is responsible for some of the largest investment categories at OpenAI. We play a critical role in maximizing OpenAI&rsquo;s long-term value by partnering across the business to allocate and deploy resources for the highest-impact outcomes. We work cross-functionally with Finance, Product, Engineering, and Go-To-Market teams to deliver actionable insights and support strategic decision-making.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As one of the founding Data Scientists on the Strategic Finance Data Science team, you will design, implement, and own critical models, reporting, and analysis. You will work closely with Finance leadership, as well as teams across Research, Applied and Go-To-Market.
 <br/>
 <br/>
 This role requires deep expertise in predictive modeling, causal inference, and the ability to surface insights to support high-stakes decision-making.
 <br/>
 <br/>
 This role is based in our San Francisco HQ. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Become an expert in OpenAI&rsquo;s data and systems. Partnering with Data Engineering, Finance, and other teams, you&rsquo;ll self-serve data to derive critical insights.
  </li>
  <li>
   Scale causal inference models to measure the impact of different actions on user growth and financial outcomes.
  </li>
  <li>
   Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value.
  </li>
  <li>
   Automate standardized reporting and analysis by building data products or agentic solutions.
  </li>
  <li>
   Support product pricing and other business decisions with ad hoc analysis.
  </li>
  <li>
   Design and deliver dashboards for leadership to track key performance indicators and enable optimal decision-making.
  </li>
  <li>
   Manage and lead cross-functional data science projects end-to-end.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Thrive In This Role If You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   MS or PhD in a quantitative field, with 7+ years of experience in a highly quantitative role, ideally as an early data scientist at a hyper-growth company or research organization.
  </li>
  <li>
   Proficiency in Python, SQL, Tableau, and other analytical tools.
  </li>
  <li>
   Strong analytical skills and experience working with large, complex data sets.
  </li>
  <li>
   Proven ability to distill complex data into actionable insights for leadership.
  </li>
  <li>
   Ability to independently initiate and complete projects, owning them end-to-end.
  </li>
  <li>
   Excellent communication and storytelling skills when presenting data insights.
  </li>
  <li>
   Exceptional attention to detail and a commitment to accuracy.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Could Be An Especially Great Fit If
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You&rsquo;re an enthusiastic self-starter who thrives in fast-paced, dynamic environments.
  </li>
  <li>
   You&rsquo;re a phenomenal teammate and communicator, able to explain complex topics with clarity and keep stakeholders proactively informed.
  </li>
  <li>
   You&rsquo;re passionate about technology and artificial intelligence.
  </li>
  <li>
   You use first-principles thinking to design solutions from the ground up based on user needs and operational realities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About OpenAI
  <br/>
  <br/>
 </strong>
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 <br/>
 <br/>
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 <br/>
 <br/>
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 <br/>
 <br/>
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 <br/>
 <br/>
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 <br/>
 <br/>
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 <br/>
 <br/>
 OpenAI Global Applicant Privacy Policy
 <br/>
 <br/>
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 <br/>
 <br/>
 Compensation Range: $230K - $385K
</div>


Data Scientist

Figma

<div>
 Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma&rsquo;s platform helps teams bring ideas to life&mdash;whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
 <br/>
 <br/>
 We are looking for an experienced Data Scientist to join our growing data team. At Figma, Data Scientists are deeply embedded within cross-functional teams across the company&mdash;from Product to Finance, Marketing, and Platform. We are hiring across a number of roles in these areas. This is ideal for someone excited to own high-impact data projects, partner strategically with stakeholders, and shape the future of our products and business.
 <br/>
 <br/>
 The ideal candidate will bring strong analytical and technical skills, business intuition, and a collaborative mindset to guide decision-making and unlock growth opportunities. You&rsquo;ll work on problems ranging from understanding user behavior to optimizing revenue strategies, improving internal tooling, and influencing product direction through experimentation and data modeling.
 <br/>
 <br/>
 This is a full-time role that can be held from one of our US hubs or remotely in the United States.
 <br/>
 <br/>
 What you&rsquo;ll do at Figma:
 <br/>
 <br/>
 <ul>
  <li>
   Collaborate across teams to define and measure key metrics, design experiments, and uncover insights that inform strategic decisions
  </li>
  <li>
   Build models and analytical frameworks to support product, marketing, platform, or finance initiatives
  </li>
  <li>
   Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously
  </li>
  <li>
   Own complex data projects end-to-end&mdash;from problem scoping to solution delivery
  </li>
  <li>
   Champion data quality, accessibility, and the democratization of data across the organization
  </li>
  <li>
   Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact
   <br/>
   <br/>
  </li>
 </ul>
 We'd love to hear from you if you have:
 <br/>
 <br/>
 <ul>
  <li>
   4+ years of experience in Analytics, Data Science, or a related field
  </li>
  <li>
   Fluency in SQL and proficiency in a scripting language like Python or R
  </li>
  <li>
   Experience with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark)
  </li>
  <li>
   Strong foundation in statistical methods, experimentation, and/or forecasting
  </li>
  <li>
   A track record of working cross-functionally and communicating effectively with both technical and non-technical partners
  </li>
  <li>
   Experience supporting one or more of the following: Product, Marketing, Finance, or internal Platform/Tooling teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  While it&rsquo;s not required, it&rsquo;s an added plus if you also have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments
   <br/>
   <br/>
  </li>
 </ul>
 At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
 <br/>
 <br/>
 <strong>
  Pay Transparency Disclosure
  <br/>
  <br/>
 </strong>
 If based in Figma&rsquo;s San Francisco or New York hub offices, this role has the annual base salary range stated below.
 <br/>
 <br/>
 Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.
 <br/>
 <br/>
 Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental &amp; vision, retirement with company contribution, parental leave &amp; reproductive or family planning support, mental health &amp; wellness benefits, generous PTO, company recharge days, a learning &amp; development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma&rsquo;s compensation and benefits are subject to change and may be modified in the future.
 <br/>
 <br/>
 Annual Base Salary Range:
 <br/>
 <br/>
 $136,000&mdash;$338,000 USD
 <br/>
 <br/>
 At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
 <strong>
  ,
 </strong>
 or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
 <br/>
 <br/>
 We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
 <br/>
 <br/>
 Examples of accommodations include but are not limited to:
 <br/>
 <br/>
 <ul>
  <li>
   Holding interviews in an accessible location
  </li>
  <li>
   Enabling closed captioning on video conferencing
  </li>
  <li>
   Ensuring all written communication be compatible with screen readers
  </li>
  <li>
   Changing the mode or format of interviews
   <br/>
   <br/>
  </li>
 </ul>
 To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
 <br/>
 <br/>
 By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.
</div>


Turo

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 You are a creative and rigorous data scientist with 2+ years of experience, excited to solve meaningful business problems. You are comfortable with a range of statistical and machine learning techniques with the ability to creatively apply them to our problems. Modeling is your thing, you are proficient in translating unstructured business problems into mathematical frameworks, and propose scalable solutions.
 <br/>
 <br/>
 You have a passion for consumer products, shipping code, and data focused experiments. You are excited to play a key role in crafting the product from inception to implementation and beyond.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with engineers, product managers and other data scientists to develop algorithms and drive key product and modeling decisions.
  </li>
  <li>
   Lead the end-to-end process of conceptualizing, developing, deploying, and analyzing models.
  </li>
  <li>
   Present your insights and suggestions to audiences of all levels in the company.
  </li>
  <li>
   Dedicatedly perform explorations of data and algorithms to improve our models.
  </li>
  <li>
   Own the data quality of your projects including training, test and experiment data.
  </li>
  <li>
   Research the best metrics; design and validate experiments to measure model performance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Profile
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep understanding of mathematical methods in statistics, optimization, and machine learning. Demonstrable experience applying these methods to real world prediction problems (classification, regression, recommendation systems, time series).
  </li>
  <li>
   Strongly self-motivated with a keen eye for detail. A natural desire to learn and innovate with like-minded colleagues.
  </li>
  <li>
   Fluent in a production-ready programming language such as Python. Ability to deploy and scale models into a production environment collaborating with engineers.
  </li>
  <li>
   Fluent in common data science tools (e.g. scikit-learn, numpy, pandas) in Python/R (preferred).
  </li>
  <li>
   Fluent in SQL, ability to efficiently query large datasets.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in experiment design and analysis.
  </li>
  <li>
   Experience with AWS data warehouses and services,
  </li>
  <li>
   Experience with Airflow.
   <br/>
   <br/>
  </li>
 </ul>
 The SF base salary target range for this full-time position is $134,000-$168,000 + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position in San Francisco, CA. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your work location during the hiring process.
 <br/>
 <br/>
 <strong>
  Turo highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Turists will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Turo considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Turo offers.
  <br/>
  <br/>
 </strong>
 <strong>
  Turo AI Policy
  <br/>
  <br/>
 </strong>
 Turo may use AI-enabled tools to support our recruiting operations, including gathering information from candidates, drafting communications, helping with interview note-taking and assessment, and so on. These tools only supplement our team; all decisions to advance or hire candidates are made by Turo employees. While we welcome candidates to use AI-enabled tools to help prepare for their interviews, the use of such tools, including any AI chatbots or note-takers, is not permitted during live interviews or technical assessments. We want to see how you consider and solve problems in real-time, so interviews and assessments are all you (unless we indicate otherwise and ask you specifically to use an AI-enabled tool to answer a question). If during the application process you require the use of an AI-enabled tool as a reasonable accommodation for a disability, please let us know at PeopleOps@turo.com.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary, equity, benefits, and perks for all full-time employees
  </li>
  <li>
   Employer-paid medical, dental, and vision insurance (Country specific)
  </li>
  <li>
   Retirement employer match
  </li>
  <li>
   Learning &amp; Development stipend to invest in your professional development
  </li>
  <li>
   Turo host matching program
  </li>
  <li>
   Turo travel credit
  </li>
  <li>
   Cell phone and internet stipend
  </li>
  <li>
   Paid time off to relax and recharge
  </li>
  <li>
   Paid holidays, volunteer time off, and parental leave
  </li>
  <li>
   For those who are in the office full-time or hybrid we have in-office lunch, office snacks, and fun activities
   <br/>
   <br/>
  </li>
 </ul>
 We are committed to building a diverse team. If you are from a background that's underrepresented in tech, we'd love to meet you.
 <br/>
 <br/>
 Aside from an award winning work environment and the opportunity to be part of the world&rsquo;s largest car sharing marketplace, we are also growing the team quickly - join us! Even if you don't meet every qualification, we are looking for people with enthusiasm for what we do and we will consider you for this and other possibilities.
 <br/>
 <br/>
 <strong>
  About Turo
  <br/>
  <br/>
 </strong>
 Turo is the world&rsquo;s largest car sharing marketplace where you can book the perfect car for wherever you&rsquo;re going from a vibrant community of trusted hosts across the US, UK, Canada, Australia, and France. Whether you're flying in from afar or looking for a car down the street, searching for a rugged truck or something smooth and swanky, Turo puts you in the driver's seat of an extraordinary selection of cars shared by local hosts.
 <br/>
 <br/>
 Discover Turo at https://turo.com, the App Store, and Google Play, and check out our blog, Field Notes.
 <br/>
 <br/>
 Read more about the Turo culture according to Turo CEO, Andre Haddad.
 <br/>
 <br/>
 Turo is an Equal Opportunity Employer and a participant in the U.S. Federal E-Verify program. Women, minorities, individuals with disabilities and protected veterans are encouraged to apply. We welcome people of different backgrounds, experiences, abilities and perspectives.
 <br/>
 <br/>
 Turo will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance, as applicable.
 <br/>
 <br/>
 We welcome candidates with physical, mental, and/or neurological disabilities. If you require assistance applying for an open position, or need accommodation during the recruiting process due to a disability, please submit a request to People Operations by emailing PeopleOps@turo.com.
 <br/>
 <br/>
</div>


Qcells

<div><p><b>Description</b>
</p><h3 class="jobSectionHeader"><b>POSITION DESCRIPTION:</b></h3><br>
We are seeking an experienced Staff Data Scientist to join our Grid &amp; Energy Analytics team within G&amp;ES. In this role, you will lead the implementation of enterprise-grade microservices that support the real-time optimization and simulation of diverse energy assets participating in U.S. wholesale electricity markets including CAISO, ERCOT, NYISO, ISO-NE, and PJM.<br>
<br>
This position will be preferably based out of our Santa Clara, San Francisco, Houston, or Seattle, or Atlanta offices.<h3 class="jobSectionHeader"><b>
RESPONSIBILITIES</b></h3><ul><li>
Work closely with Technical Lead to improve microservices including optimization, simulation, and market emulation.</li><li>
Drive microservice benchmarking, develop operations metrics, and continuously improve system performance using data-driven insights.</li><li>
Own significant software components, including documentation and testing suites, training junior engineers where appropriate.</li><li>
Contribute to the next-generation merchant optimization platform, advising on architectural choices, design &amp; implementation.
</li><li>Support the Product Manager and Technical Leads in interpreting market requirements into technical solutions, managing work scope, and ensuring timely delivery.</li><li>
Serve as a subject matter expert for at least one U.S. ISO/RTO, and mentor engineering team on compliance, settlement, and operational nuances.</li><li>
Provide Level 3 support for production issues and actively contribute to operational robustness and scalability.</li></ul><h3 class="jobSectionHeader"><b>
REQUIRED QUALIFICATIONS</b><br>
</h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Engineering, Energy Systems, or related field.</li><li>
7+ years of software development experience, ideally in energy, renewables, or grid-tech sectors.</li><li>
Proven experience delivering production-grade software for DERs, energy storage, or grid market participation.</li><li>
Strong foundation in wholesale market operations and optimization techniques.</li><li>
Proficiency in Python, Kubernetes, microservices architecture, and working with cloud-native deployments.</li><li>
Exceptional collaboration and communication skills, with the ability to lead cross-functional initiatives in fast-paced environments.</li><li>
Experience interacting with real-time systems, equipment-level controls, or forecasting models for energy assets.</li><li>
Travel may be required up to 10%, based on business needs.</li></ul><h3 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h3><ul><li>
Ph.D. in Operations Research, Engineering, Energy Systems, or related field.</li><li>
Deep knowledge of ISO/RTO market participation frameworks, especially CAISO, ERCOT, NYISO, ISO-NE, and PJM.</li><li>
Hands-on experience with Azure cloud stack, including deployment pipelines and monitoring tools.</li><li>
Experience in CI/CD pipelines, version control (Git), and modern testing frameworks.</li><li>
Experience using Julia for optimization problem formulation.</li></ul><br>
<br>
Hanwha Q CELLS Technologies, Inc. a subsidiary of Hanwha Q CELLS, one of the world&acute;s largest and most recognized photovoltaic manufacturers for its high-performance, high-quality solar cells and modules. It is headquartered in Seoul, South Korea (Global Executive HQ) Talheim, Germany (Technology &amp; Innovation HQ) and Santa Clara, CA, USA (HW and SW Product Development HQ). Through its growing global business network spanning Europe, North America, Asia, South America, Africa, and the Middle East, the company provides excellent services and long-term partnerships to its customers in the utility, commercial, government, and residential markets. Hanwha Q CELLS is a flagship company of Hanwha Group, a FORTUNE Global 500 firm and a Top 7 business enterprise in South Korea.<br>
<br>
<div><div><div><br>
<b>PHYSICAL, MENTAL &amp; ENVIRONMENTAL DEMANDS:</b><br>
To comply with the Rehabilitation Act of 1973 the essential physical, mental and environmental requirements for this job are listed below. These are requirements <i>normally expected</i> to perform <i>regular</i> job duties. Incumbent must be able to successfully perform all of the functions of the job with or without reasonable accommodation.</div></div><div><div><div><div><b><br>
Mobility</b></div></div><br>
<div><div><br>
Standing</div><div><br>
20% of time</div></div><br>
<div><div><br>
Sitting</div><div><br>
70% of time</div></div><br>
<div><div><br>
Walking</div><div><br>
10% of time</div></div><br>
<div><div><br>
<b>
Strength</b></div></div><br>
<div><div><br>
Pulling</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
Pushing</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
Carrying</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
Lifting</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
<b>
Dexterity</b> <b>(F = Frequently, O = Occasionally, N = Never)</b></div></div><br>
<div><div><br>
Typing</div><div><br>
F</div></div><br>
<div><div><br>
Handling</div><div><br>
F</div></div><br>
<div><div><br>
Reaching</div><div><br>
F</div></div></div><div><div><div><b><br>
Agility</b> <b>(F = Frequently, O = Occasionally, N = Never)</b></div></div><br>
<div><div><br>
Turning</div><div><br>
F</div></div><br>
<div><div><br>
Twisting</div><div><br>
F</div></div><br>
<div><div><br>
Bending</div><div><br>
O</div></div><br>
<div><div><br>
Crouching</div><div><br>
O</div></div><br>
<div><div><br>
Balancing</div><div><br>
N</div></div><br>
<div><div><br>
Climbing</div><div><br>
N</div></div><br>
<div><div><br>
Crawling</div><div><br>
N</div></div><br>
<div><div><br>
Kneeling</div><div><br>
N</div></div></div></div></div><div></div><p><br>
The salary range is required by the California Pay Transparency Act and may differ depending on the location of those candidates hired nationwide. Actual compensation is influenced by a wide array of factors including but not limited to, skill set, education, licenses and certifications, essential job duties and requirements, and the necessary experience relative to the job&rsquo;s minimum qualifications.</p>
<ul><li>This target salary range is for CA positions only and should not be interpreted as an offer of compensation.</li></ul>
You may view your privacy rights by reviewing Qcells' Privacy Policy or by contacting our HR team for a copy.</div>

Staff Data Scientist

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 The Preparedness team is an important part of the Safety Systems org at OpenAI, and is guided by OpenAI&rsquo;s Preparedness Framework.
 <br/>
 <br/>
 Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models.
 <br/>
 <br/>
 <strong>
  The Mission Of The Preparedness Team Is To
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards misuse risks whose impact could be catastrophic to our society
  </li>
  <li>
   Ensure we have concrete procedures, infrastructure and partnerships to mitigate these risks and to safely handle the development of powerful AI systems
   <br/>
   <br/>
  </li>
 </ul>
 Preparedness tightly connects capability assessment, evaluations, and internal red teaming, and mitigations for frontier models, as well as overall coordination on AGI preparedness. This is fast paced, exciting work that has far reaching importance for the company and for society.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We&rsquo;re hiring a Data Scientist to help build, evaluate, and continuously improve mitigations that prevent extreme harms from AI systems. This role is for an experienced, highly autonomous individual contributor who can take ambiguous problem statements, structure rigorous analyses, and translate findings into actionable product and policy changes.
 <br/>
 <br/>
 This position goes beyond &ldquo;running evals.&rdquo; You&rsquo;ll help create mitigation intelligence and monitoring systems that enable OpenAI to detect issues early, measure effectiveness over time, and reduce both over-blocking (unnecessary friction) and under-blocking (missed harm).
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Evaluate and improve mitigation systems, including classifiers and detection pipelines across domains (e.g., biosecurity, cybersecurity, and emerging risk areas).
  </li>
  <li>
   Diagnose false positives and false negatives with deep error analysis, root cause investigation, and clear recommendations for mitigation adjustments.
  </li>
  <li>
   Build monitoring and measurement frameworks to track mitigation effectiveness over time and across user segments and use cases.
  </li>
  <li>
   Identify trends in over-blocking vs. under-blocking, quantify customer impact, and propose prioritized interventions.
  </li>
  <li>
   Develop insights from customer feedback, complaints, and usage patterns to detect shifts in adversarial behavior and system failure modes.
  </li>
  <li>
   Expand risk monitoring into new areas, including cybersecurity threats and model loss-of-control or sabotage scenarios, in partnership with domain experts.
  </li>
  <li>
   Communicate results to technical and executive stakeholders with crisp narratives, decision-ready metrics, and clear tradeoffs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Thrive In This Role If You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   An autonomous operator: you can take a problem statement and independently structure the analysis end-to-end.
  </li>
  <li>
   Strong at executive-ready communication: concise, clear, and outcome-oriented.
  </li>
  <li>
   Skilled in turning analysis into productable changes: you&rsquo;re comfortable influencing across functions to drive mitigation improvements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Significant experience in data science or applied analytics in high-stakes domains (e.g., security, trust &amp; safety, abuse prevention, fraud, platform integrity, or reliability).
  </li>
  <li>
   Strong foundations in experimentation, causal thinking, and/or observational inference; ability to design robust measurement under imperfect data.
  </li>
  <li>
   Fluency in SQL and Python (or equivalent) for analysis, modeling, and building monitoring workflows.
  </li>
  <li>
   Experience building metrics, dashboards, and operational monitoring that meaningfully changes outcomes (not just reporting).
  </li>
  <li>
   Track record of driving cross-functional impact with engineering, product, and research partners.
  </li>
  <li>
   Cybersecurity data science experience (strong preference), including exposure to threat modeling, adversarial dynamics, abuse patterns, or security telemetry.
  </li>
  <li>
   Experience with classifier evaluation, calibration, thresholding, and error analysis at scale. Familiarity with detection systems in adversarial settings (e.g., evasion, distribution shift, feedback loops).
  </li>
  <li>
   Trust &amp; Safety experience is helpful, but not required.
  </li>
  <li>
   Genuine interest in AI safety, alignment, and catastrophic risk prevention.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About OpenAI
  <br/>
  <br/>
 </strong>
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 <br/>
 <br/>
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 <br/>
 <br/>
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 <br/>
 <br/>
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 <br/>
 <br/>
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 <br/>
 <br/>
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 <br/>
 <br/>
 OpenAI Global Applicant Privacy Policy
 <br/>
 <br/>
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 <br/>
 <br/>
 Compensation Range: $347K - $400K
</div>


Data Scientist, Preparedness

Decagon

<div>
 <strong>
  About Decagon
  <br/>
  <br/>
 </strong>
 Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
 <br/>
 <br/>
 Our technology enables industry-defining enterprises like Avis Budget Group, Block&rsquo;s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
 <br/>
 <br/>
 We&rsquo;re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We&rsquo;re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
 <br/>
 <br/>
 We&rsquo;re an in-office company, driven by a shared commitment to excellence and velocity. Our values &mdash; Just Get It Done, Invent What Customers Want, Winner&rsquo;s Mindset, and The Polymath Principle &mdash; shape how we work and grow as a team.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As a Data Scientist at Decagon, you&rsquo;ll bring deep technical rigor to how data is analyzed, tested, and applied across the business. You&rsquo;ll design and interpret experiments, apply advanced statistical methods, and build scalable analytical frameworks that directly inform product strategy and company performance.
 <br/>
 <br/>
 You&rsquo;ll work across Engineering and Product to establish robust measurement practices, expand the use of data-driven decision making, and uncover insights that shape Decagon&rsquo;s trajectory. This role blends strong analytical expertise with product acumen and the ability to influence at the highest levels.
 <br/>
 <br/>
 <strong>
  In this role, you will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and maintain foundational datasets and metrics that reflect infrastructure usage, system performance, and scaling efficiency across Decagon's AI platform.
  </li>
  <li>
   Enhance and extend Decagon&rsquo;s data models, metrics, and dashboards to ensure consistent, scalable reporting across teams.
  </li>
  <li>
   Partner closely with Engineering to shape strategy through data &mdash; surfacing bottlenecks, inefficiencies, and scaling risks before they become problems.
  </li>
  <li>
   Collaborate with Product and Engineering to embed experimentation and measurement best practices into product development cycles.
  </li>
  <li>
   Build and continuously improve Decagon&rsquo;s data stack, ensuring scalable models, pipelines, and tools that empower self-serve analytics across the company.
  </li>
  <li>
   Communicate findings clearly and persuasively to executives and cross-functional stakeholders, influencing strategic decision-making.
  </li>
  <li>
   Conduct deep-dive quantitative investigations to support incident analysis, reliability improvements, and post-mortem learnings.
  </li>
  <li>
   Evaluate and interpret the performance of ML models (e.g., classification, recommendation, LLM-based systems), helping the team reason through trade-offs, limitations, and business implications of model-driven decisions.
  </li>
  <li>
   Be the primary driver of experimentation culture at Decagon, helping define how we design, measure, and scale experiments across the business.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We're Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong ability to structure ambiguous problems, translate them into analytical approaches, and deliver business impact through data.
  </li>
  <li>
   Advanced proficiency in SQL and Python, with a solid foundation in statistics and experimental design.
  </li>
  <li>
   5+ years (or equivalent experience) in data science or product analytics roles, ideally within high-scale consumer or marketplace products.
  </li>
  <li>
   Ability to reason about and analyze machine learning models, understanding their assumptions, trade-offs, and impact on product and customer outcomes.
  </li>
  <li>
   Proven track record as a data partner in large-scale backend or infrastructure systems.
  </li>
  <li>
   Comfort building operational analytics (e.g., alerting, SLIs/SLOs) and partnering closely with data and infra engineering.
  </li>
  <li>
   Excellent communication skills, with experience influencing stakeholders and driving decisions across teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Medical, dental, and vision benefits
  </li>
  <li>
   Take what you need vacation policy
  </li>
  <li>
   Daily lunches, dinners and snacks in the office to keep you at your best
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 $250k - $300k + equity
</div>


Senior Data Scientist

Data Scientist, Product Analytics

Explore 231+ Data scientist in San Francisco United States this March. Find roles across top companies and apply now to boost your career.

231 data scientist jobs In San Francisco United States

Data Scientist

Data Scientist

Data Scientist

Staff Data Scientist

Data Scientist, Preparedness

Senior Data Scientist

Data Scientist, Product Analytics